simdatmixcure.object: Object resulting from simulating survival data with a cure...

In oswaldogressani/mixcurelps: Approximate Bayesian Inference in Mixture Cure Models

Object resulting from simulating survival data with a cure fraction.

Description

A list of objects resulting from the simdatmixcure routine.

Value

Values:

n	The sample size.
X	The generated matrix of covariates in the incidence part (including an intercept). As the model includes an intercept, the first column corresponds to a column of ones.
Z	The generated matrix of covariates in the latency part.
betas	The vector of regression coefficients in the incidence part.
gammas	The vector of regression coefficents in the latency part.
tobs	The vector of observed survival times.
delta	The vector of event indicators.
h0	A function corresponding to the Weibull baseline hazard used in the latency part.
S0	A function corresponding to the Weibull baseline survival used in the latency part.
tup	The largest observed follow-up time.
fitKM	The Kaplan-Meier fit to the generated survival data.
plateau	The x-axis value at which the plateau of the Kaplan-Meier curve starts.
info	A character string giving information on censoring and cure rates.
setting	The chosen setting, either 1 or 2.

Author(s)

Oswaldo Gressani [e-mail] .

See Also

simdatmixcure

oswaldogressani/mixcurelps documentation built on Oct. 30, 2024, 10:45 p.m.